474 search results - page 19 / 95 » Bayesian Feature and Model Selection for Gaussian Mixture Mo... |
121
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ADMA
2006
Springer
15 years 9 months ago
2006
Springer
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
159
Voted
JMM2
2008
15 years 3 months ago
2008
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
164
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TIP
2002
15 years 3 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
165
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JMLR
2012
13 years 6 months ago
2012
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
198
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CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...